DeepSeek on NVIDIA Ampere

Can I run DeepSeek-R1 671B-A37B on an RTX 3060 12GB?

Not at Q4_K_M — it needs 380.4 GB against 10.5 GB available. No quantisation of this model fits on one card.

Won't fit

380.4 GB of 10.5 GB · 3630%
0396 GB
Weights 379.0 GB
KV cache 0.5 GB
Runtime overhead 0.9 GB
Over the limit 369.9 GB

Short by 369.9 GB. You can run it with 1 of 61 layers on the RTX 3060 12GB and the rest in system RAM, at roughly 1.89 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.

Generation1.89tok/s
Prompt processing142tok/s
Max context0tokens
KV per 1K tokens0GB

Every quantisation of DeepSeek-R1 671B-A37B on a RTX 3060 12GB

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 1249.8 GB 1251.2 GB Won't fit 0.58
INT8 / W8A8 8.50 663.6 GB 665.0 GB Won't fit 1.08
Q8_0 (GGUF) 8.50 663.6 GB 665.0 GB Won't fit 1.08
FP8 (E4M3) 8.00 624.9 GB 626.3 GB Won't fit 1.14
Q6_K 6.56 512.4 GB 513.8 GB Won't fit 1.41
Q5_K_M 5.67 442.9 GB 444.3 GB Won't fit 1.63
Q5_K_S 5.52 431.2 GB 432.6 GB Won't fit 1.67
Q4_K_M 4.85 379.0 GB 380.4 GB Won't fit 1.89
Q4_K_S 4.58 358.0 GB 359.4 GB Won't fit 2.00
Q4_0 4.55 355.6 GB 357.0 GB Won't fit 2.02
AWQ 4-bit 4.25 334.5 GB 335.9 GB Won't fit 2.14
GPTQ 4-bit 4.25 334.5 GB 335.9 GB Won't fit 2.14
MXFP4 4.25 334.5 GB 335.9 GB Won't fit 2.14
IQ4_XS 4.25 332.3 GB 333.7 GB Won't fit 2.15
Q3_K_M 3.91 305.8 GB 307.2 GB Won't fit 2.33
IQ3_M 3.70 289.4 GB 290.8 GB Won't fit 2.46
IQ3_XXS 3.06 239.6 GB 241.0 GB Won't fit 3.00
Q2_K 2.63 206.1 GB 207.5 GB Won't fit 3.46
IQ2_XXS 2.06 161.7 GB 163.1 GB Won't fit 4.42
IQ1_M 1.75 137.5 GB 138.9 GB Won't fit 5.22

Also worth checking